Search Results for author: Jason Gejie Liu

Found 2 papers, 0 papers with code

First Order Methods for Robust Non-negative Matrix Factorization for Large Scale Noisy Data

no code implementations24 Mar 2014 Jason Gejie Liu, Shuchin Aeron

Nonnegative matrix factorization (NMF) has been shown to be identifiable under the separability assumption, under which all the columns(or rows) of the input data matrix belong to the convex cone generated by only a few of these columns(or rows) [1].

Robust Large Scale Non-negative Matrix Factorization using Proximal Point Algorithm

no code implementations8 Jan 2014 Jason Gejie Liu, Shuchin Aeron

A robust algorithm for non-negative matrix factorization (NMF) is presented in this paper with the purpose of dealing with large-scale data, where the separability assumption is satisfied.

Cannot find the paper you are looking for? You can Submit a new open access paper.